Analysis of multi-factoral econometric models of development of entrepreneurship in the food industry

Table 2
The results of the econometric model of factors affecting the number of business entities in the country [23]

Method: The least squares method
Selection periods: 2003 2018
Number of observations received: 16
Variables	Coefficient	Standard error	t-statistics	Probability
Number of business registration processes (LN_PROCED_)	0.144604	0.197495	0.732191	0.4827
The average time that takes to register - a day (LN_DAY)	-0.084383	0.087237	-0.967285	0.3587
Official registration costs (LN_COST)	-0.048429	0.066894	-0.723977	0.4875
Number of procedures regulating judicial activity (LN_EPROCED)	-0.318591	0.114337	-2.786424	0.0212
Formal costs of fulfilling the terms of the contract (LN_ECOST)	0.189020	0.091006	2.077013	0.0676
Food production capacity (LN_Q)	-0.176905	0.443211	-0.399143	0.6991
Constanta(C)	6.243916	0.334152	18.68588	0.0000
R^2	0.716283	F-statistics 3.786961
Probability value	0.036489	Darbin-Watson sta. 3.083

This leads to the appearance of the following model, i.e. the state after setting the regression coefficients:
(1)
The following conclusions and opinions can be made about the factors influencing the increase in the number of business entities in the future as a result of changes in the values of indicators.
First, 2 out of 8 indicators in the model, ie the minimum capital issued on the level of sensitivity since 2014, the time and date required to resolve disputes in the courts were not accounted for by the State Statistics Committee of the Republic of Uzbekistan. Only two - the number of business registration processes, as well as the official costs of fulfilling the terms of the contract (as a percentage of the amount of debt) have the strongest impact on business activity. A 1-day decrease in the number of business registration processes will increase the number of business entities by 0,14 points, and a 1% decrease in the official costs of fulfilling the terms of the contract will increase the number of business entities by 0.19 points.
Second, due to the reduction of the registration day (DAY) from 4 to 2 days, the number of procedures regulating judicial activity (EPROCED) from 18 to 15 days, the reduction of DAY from 2 days to 0.084 points, the reduction of EPROCED from 3 days to 0.31 points. affects the increase in the number.
In the scientific work, a linear model is proposed to analyze the state of food production in the context of sustainable economic development. The results of the calculations performed on this model are as follows (“see Table 3”).
The scientific work proposed a natural logarithmic linear model that determines the volume of production of 4 types of food products in the future. Coefficients of susceptibility of factors to the volume of food production by types of meat, milk, bread and melons and vegetables were developed. We also obtained the following multifactor regression model based on the results of the calculations of the first meat production volume given in table 3:


(2)

According to the results of the econometric analysis obtained on the multiplicative function of meat production, the multidimensional determination coefficient (R²) was 0.996, indicating that the value calculated by Fisher’s F-criterion (F_account = 573.7> F_table) was greater than its table value.